Klymiuk Valentyna, Haile Teketel, Ens Jennifer, Wiebe Krystalee, N'Diaye Amidou, Fatiukha Andrii, Krugman Tamar, Ben-David Roi, Hübner Sariel, Cloutier Sylvie, Pozniak Curtis J
Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Institute of Evolution, University of Haifa, Haifa, Israel.
Front Plant Sci. 2023 Mar 14;14:1145371. doi: 10.3389/fpls.2023.1145371. eCollection 2023.
Wheat rust diseases are widespread and affect all wheat growing areas around the globe. Breeding strategies focus on incorporating genetic disease resistance. However, pathogens can quickly evolve and overcome the resistance genes deployed in commercial cultivars, creating a constant need for identifying new sources of resistance.
We have assembled a diverse tetraploid wheat panel comprised of 447 accessions of three Triticum turgidum subspecies and performed a genome-wide association study (GWAS) for resistance to wheat stem, stripe, and leaf rusts. The panel was genotyped with the 90K Wheat iSelect single nucleotide polymorphism (SNP) array and subsequent filtering resulted in a set of 6,410 non-redundant SNP markers with known physical positions.
Population structure and phylogenetic analyses revealed that the diversity panel could be divided into three subpopulations based on phylogenetic/geographic relatedness. Marker-trait associations (MTAs) were detected for two stem rust, two stripe rust and one leaf rust resistance loci. Of them, three MTAs coincide with the known rust resistance genes Sr13, Yr15 and Yr67, while the other two may harbor undescribed resistance genes.
The tetraploid wheat diversity panel, developed and characterized herein, captures wide geographic origins, genetic diversity, and evolutionary history since domestication making it a useful community resource for mapping of other agronomically important traits and for conducting evolutionary studies.
小麦锈病分布广泛，影响着全球所有小麦种植区。育种策略侧重于引入遗传抗病性。然而，病原体能够迅速进化并克服商业品种中所部署的抗性基因，因此持续需要鉴定新的抗性来源。
我们构建了一个由447份三个普通小麦亚种材料组成的多样化四倍体小麦群体，并针对小麦秆锈病、条锈病和叶锈病抗性开展了全基因组关联研究（GWAS）。该群体利用90K小麦iSelect单核苷酸多态性（SNP）芯片进行基因分型，随后的筛选产生了一组6410个具有已知物理位置的非冗余SNP标记。
群体结构和系统发育分析表明，基于系统发育/地理相关性，该多样化群体可分为三个亚群。检测到两个秆锈病、两个条锈病和一个叶锈病抗性位点的标记-性状关联（MTA）。其中，三个MTA与已知的锈病抗性基因Sr13、Yr15和Yr67一致，而另外两个可能含有未描述的抗性基因。
本文所构建和表征的四倍体小麦多样化群体涵盖了广泛的地理起源、遗传多样性以及驯化后的进化历史，使其成为用于定位其他重要农艺性状和开展进化研究的有用的群体资源。
